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OfirOhan

EmailOctopus MCP Server

by OfirOhan

Campaign performance

campaign_report
Read-only

Retrieve a campaign's performance summary—sent, opens, clicks, bounces, unsubscribes, complaints—and per-link click counts to evaluate newsletter results.

Instructions

Get a campaign's results: the summary (sent, opens, clicks, bounces, unsubscribes, complaints) plus per-link click counts. Good for 'how did last week's newsletter do?'.

Input Schema

NameRequiredDescriptionDefault
campaignIdYesCampaign ID (from list_campaigns)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

A4/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds genuinely useful return-shape detail — the exact metric set and per-link click breakdown — which matters since no output schema exists. It omits pagination/limits for per-link data, keeping it short of a 5.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences, front-loaded with the core action and return contents, then a single usage cue. No filler or redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter read tool with annotations and no output schema, the description covers purpose, return contents, and a use case, which is nearly everything an agent needs. Minor gaps: no pagination behavior for per-link counts and no explicit boundary with sibling reporting tools.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Only one parameter (campaignId) with 100% schema description coverage, including the helpful hint 'from list_campaigns'. The description adds no additional semantics beyond the schema, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description gives a specific verb+resource ('Get a campaign's results') and enumerates the returned metrics (sent, opens, clicks, bounces, unsubscribes, complaints) plus per-link click counts, which is concrete and unambiguous. However, it never distinguishes itself from close siblings like get_campaign or campaign_recipients, so the agent must infer the split.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The line 'Good for "how did last week's newsletter do?"' supplies a clear, recognizable usage context, which is stronger than vague implied usage. It stops short of naming alternatives or stating when NOT to use it (e.g., vs. get_campaign or campaign_recipients).

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.